Artificial Intelligence and Human Learning: A Dynamic Perspective

In recent years, artificial intelligence (AI) has risen as both a marvel of technological advancement and a mirror reflecting the complexities of human intelligence. As we explore AI’s role in learning and education, it becomes essential to distinguish between what AI can replicate and what remains inherently human. Central to this discussion is the concept of affordances — the potential actions or uses that emerge through the interaction between an agent and its environment. Understanding this concept provides a profound lens for evaluating the interplay between AI and human learning.

The potential uses of any object or tool—including AI—depend on the goals, capabilities, and perceptions of the agent interacting with it. For humans, these goals and capabilities evolve dynamically, influenced by continuous learning and interaction. Consider a simple example: a chair. For most, it affords sitting, but for a child, it might afford climbing or fort-building. The uses of the chair are not fixed; they are shaped by the user’s intentions, experiences, and creativity.